The AFRL WMT20 News Translation Systems

Jeremy Gwinnup, Tim Anderson


Abstract
This report summarizes the Air Force Research Laboratory (AFRL) machine translation (MT) systems submitted to the news-translation task as part of the 2020 Conference on Machine Translation (WMT20) evaluation campaign. This year we largely repurpose strategies from previous years’ efforts with larger datasets and also train models with precomputed word alignments under various settings in an effort to improve translation quality.
Anthology ID:
2020.wmt-1.20
Volume:
Proceedings of the Fifth Conference on Machine Translation
Month:
November
Year:
2020
Address:
Online
Editors:
Loïc Barrault, Ondřej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Alexander Fraser, Yvette Graham, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, André Martins, Makoto Morishita, Christof Monz, Masaaki Nagata, Toshiaki Nakazawa, Matteo Negri
Venue:
WMT
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
207–212
Language:
URL:
https://aclanthology.org/2020.wmt-1.20
DOI:
Bibkey:
Cite (ACL):
Jeremy Gwinnup and Tim Anderson. 2020. The AFRL WMT20 News Translation Systems. In Proceedings of the Fifth Conference on Machine Translation, pages 207–212, Online. Association for Computational Linguistics.
Cite (Informal):
The AFRL WMT20 News Translation Systems (Gwinnup & Anderson, WMT 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.wmt-1.20.pdf
Video:
 https://slideslive.com/38939648